In new research, Yan Leng, assistant professor of information, risk, and operations management at the McCombs School of Business at The University of Texas at Austin, has devised a sort of personality test — more precisely, a behavioral audit — for large language models (LLMs), the technology that drives products such as ChatGPT.

By understanding an LLM’s existing tendencies, an organization can decide whether an available model already fits its values and usage scenarios. If not, it might need to fine-tune a model before putting it to use.

Leng compares her framework to trying to understand a person through their actions and thought processes. “For a human, we would have our values, and our values would dictate how we make decisions, so we try to have that for LLMs as well,” she says.

A new study, co-authored by a Penn State Smeal College of Business professor, shows that AI can mass-produce academic papers that look nearly indistinguishable from human-authored research, raising concerns about the potential impact on the academic community.

The UK could raise up to £4.9 billion over five years and significantly improve public health by capping tobacco prices and increasing taxes. 

Research published by the University of Bath Tobacco Control Research Group and the University of Sheffield’s Addictions Research Group, provides the first real-world modelling of a proposed ‘polluter pays’ tobacco levy scheme. 

The study found that the proposed policy, aimed at stopping the tobacco industry from using pricing as a marketing tool, could raise between £1 billion and £4.9 billion over five years, depending on the level of price cap and how quickly it is introduced.  It could also prevent up to 10,000 hospital admissions and save almost 44,000 years of life over a 20-year period.